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An End-to-End Compression Framework Based on Convolutional Neural Networks
2 August 2017
F. Jiang
Wen Tao
Shaohui Liu
Jie Ren
Xun Guo
Debin Zhao
3DV
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Papers citing
"An End-to-End Compression Framework Based on Convolutional Neural Networks"
7 / 7 papers shown
Title
End-to-end Transformer for Compressed Video Quality Enhancement
Li Yu
Wenshuai Chang
Shiyu Wu
M. Gabbouj
ViT
19
8
0
25 Oct 2022
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images
Dipti Mishra
S. Singh
R. Singh
18
1
0
11 Apr 2021
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
27
2
0
04 Jan 2021
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
Learned Neural Iterative Decoding for Lossy Image Compression Systems
Alexander Ororbia
A. Mali
Jian Wu
Scott O'Connell
David J. Miller
C. Lee Giles
11
27
0
15 Mar 2018
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
225
2,543
0
25 Jan 2016
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
1